Moving Average Slope AnalysisThis is a simple script which allows to do slope analysis on any kind of Moving Average. Simply change the moving average function that you wish to work with , in the script.
Slope analysis may be required for fine-tuning trade automation software , which uses Moving Average for determining optimum enter/exit point.
Read code comments for instructions!
Average
Moving Average Buy/Sell IndicatorUsing a selected Exponential Moving Average (EMA)/Simple Moving Average (SMA) range, this indicator inserts a Long/Short (buy/sell) indicator overlaid on chart depending on the following conditions:
- LONG/BUY SIGNAL = if SMA value is less than EMA, and both the SMA and EMA are less than the current average price.
- SHORT/SELL SIGNAL = if SMA value is greater than EMA, and both the SMA and EMA are greater than the current average price.
**Intended for use with the 21 and 34 weekly moving average time range. Much more useful for long-term analysis rather than short-term analysis.**
Moving Average Crossover with Shading Signals This script uses 3 moving averages (2 simple moving averages and 1 exponential moving average ) to signal long and short opportunities based on moving average crossovers.
A long SMA (Signal SMA2) is used to determine longer term trend. When the EMA crosses above the Slow SMA1 and price is above the Signal SMA2. The space between the moving averages will shade green and the Signal SMA should also be green.
A sell signal occurs when the EMA crosses below the Slow SMA1 and price is below the Signal SMA2. The space between the moving averages will turn red and the Signal SMA should also be red.
A retracement, consolidation, or reversal may be occurring if the shaded color is yellow.
Use the identifying shapes to learn when to open or close positions.
Stepping MAInput desired timeframe and etc
Ex: Timeframe Daily
Input 100
Will display daily moving of 100 on every timeframe
Trend Indicator A-V2 (Smoothed Heikin Ashi Cloud)"Trend Indicator A-V2" and "Trend Indicator B-V2" are updated and improved versions of my initial trend indicators. Totally rethinking the code, adding highs and lows in the calculations, including some more customisation through colour schemes.
In practice, this indicator uses EMAs and Heikin Ashi to provide an overall idea of the trend.
The "Trend Indicator A-V2" is an overlay showing “Smoothed Heikin Ashi” .
The "Trend Indicator B-V2" uses the same values in a different way to measure the momentum of the trend and identify potential trend rejections.
Please, take into account that it is a lagging indicator.
Moving Average BandsUse this script to find buy and sell zones for BTC based on momentum of the move relative to the average asset price over a given period. The script plots a series of offset bands above and below the Simple Moving Average. When price crosses another band further from the SMA, the background is rendered brighter. The brighter the background, the stronger the buy and sell signal is, as the expectation is that price wants to return to the SMA. Settings are adjustable to fine tune to various time frames and assets. Good settings for BTC Daily are length 30, layers at 10, 20, 30, and 40.
On 1H BTC/USD I use length 200, layers at 5, 10, 15, 20 to find decent swing trading opportunities.
On BTC/USD 1D chart, combine with Bitcoin Logarithmic Growth Curve from @mabonyi (original by @quantadelic )for confluence of very reliable signals.
RSI With Optional Average @RknOur old fellow RSI , but with an average (Select among SMA, EMA or WMA) line in this version. When RSI crosses its average or the center (50) line it may be considered as a Buy and/or Sell signal.
Just coded for learning purposes. Anyone who think that an average line would be good on RSI is welcomed.
Dziwne Trend Indicator B (EMA + Heikin Ashi) V1Based on my own "Dziwne Trend Indicator A (EMA + Heikin Ashi cloud)" , I tweaked the original script to display and "measure" the overall trend.
ATR - ATR from Low, ATR from High LabelsChecks what the average true range is for the X amount of trading days. Then will also label the ATR from the low, and the ATR from the high of the current day.
A second label can be created dependent on current days RVOL %. If RVOL is not 0 or 1, then it will create the second label. Otherwise it will just leave it as the standard label.
The calculation for second label is RVOL * ATR.
Customisable Moving Averages x5This is a Moving Averages pack with 5 lines.
This indicator is different from others because with it you can select the MA type used in calculations for each line.
Available MA types are (currently):
SMA
EMA
WMA
VWMA
RMA
HMA
Also configurable (for each line) are data source (open, close, hlc3, etc) and period.
Heavy EMAThis script looks at 5 different EMAs so that you can compare the short term to the long term trend, and combines it with the Parabolic SAR. This can be used to find a great entry into a new or reversing trend.
Volume Average Cross - VAC DefaultVolume Average Cross Default Indicator
This indicator plots signals from two different visual volume averages when they cross.
In does in addition to that show the default volume bars.
This is VAC Default. If you need to see the crosses on your chart and not on the volume bars please go to my VAC Chart Indicator.
Rules:
Fast Volume Period always has to be lower than the Slow Volume Period to trigger correct signals.
Inputs:
-> Fast Volume Average Period
-> Slow Volume Average Period
-> Option to enable/disable the cross-signals and to show/hide both volume averages.
Welles Wilder MA [MX]The average of 34 periods I observe as a mobile S/R, but I usually observe it more when it is in strong trend, and the average of 72 and 89 as trend dictators, if the asset is above them = Bullish , below = Bearish , and the 144 average as the last moving S/R, and also as an S/R even stronger than all other MAs and when the asset loses that average, I see it as final confirmation of the other previous averages.
I give more importance to the average of 89 periods than to 72, because I see it as an extension to the average of 72, as if it were a trend range.
for those who prefer to observe the crossing of short and long averages as a way to see the trend, I also left this option, although I do not use
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A média de 34 periodos eu observo como um S/R móvel, mas eu costumo observar ela mais quando está em forte tendência, estando bem bearish ou jeffish, e a média de 72 e 89 como ditadoras de tendência, se o ativo está acima delas = Bullish , abaixo = Bearish , e a média de 144 como o último S/R móvel, e também como um S/R ainda mais forte que todas as outras MA's e quando o ativo perde essa média, eu vejo como confirmação final das outras médias anteriores.
Eu dou mais importância a média de 89 períodos do que a de 72, porque eu vejo ela como uma extensão a média de 72, como se fosse um range de tendência.
para quem prefere observar o cruzamento das médias curtas com as longas como forma de ver a tendência, eu deixei também essa opção, embora eu não use
ETF / Stocks / Crypto - DCA Strategy v1Simple "benchmark" strategy for ETFs, Stocks and Crypto! Super-easy to implement for beginners, a DCA (dollar-cost-averaging) strategy means that you buy a fixed amount of an ETF / Stock / Crypto every several months. For instance, to DCA the S&P 500 (SPY), you could purchase $10,000 USD every 12 months, irrespective of the market price. Assuming the macro-economic conditions of the underlying country remain favourable, DCA strategies will result in capital gains over a period of many years, e.g. 10 years. DCA is the safest strategy that beginners can employ to make money in the markets, and all other types of strategies should be "benchmarked" against DCA; if your strategy cannot outperform DCA, then your strategy is useless.
Recommended Chart Settings:
Asset Class: ETF / Stocks / Crypto
Time Frame: H1 (Hourly) / D1 (Daily) / W1 (Weekly) / M1 (Monthly)
Necessary ETF Macro Conditions:
1. Country must have healthy demographics, good ratio of young > old
2. Country population must be increasing
3. Country must be experiencing price-inflation
Necessary Stock Conditions:
1. Growing revenue
2. Growing net income
3. Consistent net margins
4. Higher gross/net profit margin compared to its peers in the industry
5. Growing share holders equity
6. Current ratios > 1
7. Debt to equity ratio (compare to peers)
8. Debt servicing ratio < 30%
9. Wide economic moat
10. Products and services used daily, and will stay relevant for at least 1 decade
Necessary Crypto Conditions:
1. Honest founders
2. Competent technical co-founders
3. Fair or non-existent pre-mine
4. Solid marketing and PR
5. Legitimate use-cases / adoption
Default Robot Settings:
Contribution (USD): $10,000
Frequency (Months): 12
*Robot buys $10,000 worth of ETF, Stock, Crypto, regardless of the market price, every 12 months since its founding time.*
*Equity curve can be seen from the bottom panel*
Risk Warning:
This strategy is low-risk, however it assumes you have a long time horizon of at least 5 to 10 years. The longer your holding-period, the better your returns. The only thing the user has to keep-in-mind are the macro-economic conditions as stated above. If unsure, please stick to ETFs rather than buying individual stocks or cryptocurrencies.
Tilson T3 and MavilimW Triple Combined StrategyInspired by truly greatful Kivanç Ozbilgic (www.tradingview.com).
The strategy tries to combined three different moving average strategies into one.
Strategies covered are:
1. Tillson T3 Moving Average Strategy
Developed by Tim Tillson, the T3 Moving Average is considered superior to traditional moving averages as it is smoother, more responsive and thus performs better in ranging market conditions as well. However, it bears the disadvantage of overshooting the price as it attempts to realign itself to current market conditions.
It incorporates a smoothing technique which allows it to plot curves more gradual than ordinary moving averages and with a smaller lag. Its smoothness is derived from the fact that it is a weighted sum of a single EMA, double EMA, triple EMA and so on. When a trend is formed, the price action will stay above or below the trend during most of its progression and will hardly be touched by any swings. Thus, a confirmed penetration of the T3 MA and the lack of a following reversal often indicates the end of a trend. Here is what the calculation looks like:
T3 = c1*e6 + c2*e5 + c3*e4 + c4*e3, where:
– e1 = EMA (Close, Period)
– e2 = EMA (e1, Period)
– e3 = EMA (e2, Period)
– e4 = EMA (e3, Period)
– e5 = EMA (e4, Period)
– e6 = EMA (e5, Period)
– a is the volume factor, default value is 0.7 but 0.618 can also be used
– c1 = – a^3
– c2 = 3*a^2 + 3*a^3
– c3 = – 6*a^2 – 3*a – 3*a^3
– c4 = 1 + 3*a + a^3 + 3*a^2
T3 MovingThe T3 Moving Average generally produces entry signals similar to other moving averages and thus is traded largely in the same manner.
Strategy for Tillson T3 is if the close crossovers T3 line and for at least five bars the close was under the T3
2. Tillson T3 Fibonacci Cross
Kivanc Ozbilgic added a second T3 line with a volume factor of 0.618 (Fibonacci Ratio) and length of 3 (fibonacci number) which can be added by selecting the T3 Fibonacci Strategy input box.
Strategy for Tillson T3 Fibo is when the Fibo Line crossover the T3 it gives long signal vice versa.
3. MavilimW
MavilimW is originally a support and resistance indicator based on fibonacci injected weighted moving averages.
Strategy for MavilimW is is if the close crossovers T3 line and for at least five bars the close was under the T3
Hope you enjoy
Average change histogramThis histogram shows the average change in price between the past x candles close. If the average change is increasing the color of the histogram becomes dark green (if above 0) or dark red (if below 0).
This can be used for trend detection or the spotting of parabolas.
MA_CROSSOVER with SL & TPThis is the Moving Average Script Including the Stoploss and Target Levels. By Default it is working on 25 & 40 Parameters but it can change accordingly.
MESA Adaptive Moving Average - Improved MTFThis indicator is a huge upgrade to my original MTF MESA
Plots are now extremely smooth and accurate on all timeframes **
Missing data points are automatically filled with the "best fit"
This is a Trend indicator and should be used to trade "top-down" aka:
Start with the Daily chart to confirm a trend
Move to 4H
2H
Etc...
Use your favorite entry method or simply watch for wicks forming when the price gets near the MESA adaptive moving average.
This is one of the few indicators that I've been using for years with success. Being able to plot both the current & higher timeframe MESA
can sometimes feel like cheating.
Due to the nature of the recursive calculation, you may notice slight differences between this version of MESA and others that either
approximate higher timeframes with fewer samples or make use of the latest "Resolution" argument in Pinescript V4. Both of which are
fine, until you start looking at M5 charts while plotting the Daily MESA.
As always, happy trading!
** Currently supports
M 1,3,5,15,30,45
H 1,2,3,4
Day 1
Week 1
Month 1
Pre-Market Volume ProfileThis indicator displays the pre-market volume (note: without the post-market of the previous day).
Unusual pre-market volume often indicates that institutional market makers are moving the market, which is a good sign for unusual high price movement.
The indicator helps me to spot stocks, if a pre-market gap is confirmed with enough (unusual) volume.
You can define, what "unusual" means by you, by adjusting the SMA length and the SMA multiplier.
The default is a length of 21 bars and a 2.5 multiplier, meaning I'm interested in a stock, if the pre-market volume exceeds the average pre-market volume by 2.5 times.
Volume Weighted DeviationsVolume !weighted!
deviations.
Important: I don't really know how people generally compute deviations from VWAP/VWMA, but smth tells me generally it's just a Av Dev/St Dev based on mean, not on appropriate basis, like volume weighted mean in our case. This version is mathematically correct, it first calculates weighted mean, than utilizes this weighted in mean in AvDev & StDef functions modified to take into account weights.
SMA's AverageReturn the average of simple moving averages with periods starting from min to max that is:
avg(sma(src,min),sma(src,min+1),...,sma(src,max))
The user can choose three types of weightings for the average, "simple", "linear", and "least squares".
Settings
Min : minimum period of the sma
Max : maximum period of the man, must be higher than "Min"
Src : input data of the indicator
Type : type of weighting, available options are "Simple", "Linear" or "Least Squares", by default "Simple"
Usage
The moving average can be used like any other classical moving average. The different types of weightings change the behavior of the moving average, the simple weighting will weight all the moving averages equally, a linear weighting will use the weighting function of a WMA, as such moving averages with lower periods will receive higher weights, this decrease the lag of the moving average. Finally, the least-squares weighting uses the weighting function of a least-squares moving average, this allows to drastically reduce the lag of the moving average.
in red the moving average using simple weighting, in blue linear weighting, and in orange least squares weighting, with all using min = 14 and max = 28.
In red the moving average with min = 50 and max = 200, in blue a LSMA of period 200, notice how the moving average has less overshoots.
Details
Computing the average of various simple moving averages is simple, remember that a simple moving average can be computed using a cumulative sum:
Sma = change(cum(src),length)/length
we can't compute various "sma" functions with changing length argument within a for loop, but we can still differentiate within it, as such the cumulative sum method is super efficient and convenient.
The impulse response of this moving average is rectangular for the first "min" values, then the impulse is tailed, with the weighting method defining the shape of the tail.
in red the simple weighting method, in blue the linear method, and in orange the least-squares method.
Our moving average is an FIR moving average, as such the output lag is a linear characteristic of the moving average, which imply that:
Lag = Avg(lag(Sma(min)),lag(Sma(min+1))...,lag(max))
where lag is the lag of the moving average, in the case of a simple weighting we have:
Lag = Avg((min-1)/2,(min+1-1)/2,...,(max-1)/2) = Avg((min-1)/2,(max-1)/2)
a linear weighting gives a lag of:
Lag = Avg((min-1)/3,(min+1-1)/3,...,(max-1)/3) = Avg((min-1)/3,(max-1)/3)
Summary
A script computing the average of various moving averages has been presented, this MA might not be super useful to the everyday analyst but it stills have some great potential. Thx for reading.
This indicator is dedicated to my sister Lea, happy birthday kokoro
